1,720,996 research outputs found
Poplar clones of different sizes, grown on a heavy metal polluted site, are associated with microbial populations of varying composition
We performed a field trial to evaluate the response of different poplar clones to heavy metals. We found that poplar plants of the same clone, propagated by cuttings, had a marked variability of survival and growth in different zones of the field that were characterized by very similar physical–chemical prosperities. Since metal uptake and its accumulation by plants can be affected by soil microorganisms, we investigated soil microbial populations that were collected in proximity to the roots of large and small poplar plants. We used microbiological and molecular tools to ascertain whether bacterial strains or species were associated with large, or small poplars, and whether these were different from those present in the bulk (without plants) soil.
We found that the culturable fraction of the bacteria differed in the three cases (bulk soil, small or large poplars). While some taxa were always present, two species (Chryseobacterium soldanellicola and Variovorax paradoxus) were only found in the soil where poplars (large or small) were growing, independently from the plant size. Bacterial strains of the genus Flavobacterium were prevalent in the soil with large poplar plants. The existence of different microbial populations in the bulk and in the poplar grown soils was confirmed by the DGGE profiles of the bacterial culturable fractions. Cluster analysis of the DGGE profiles highlighted the clear separation of the culturable fraction from the
whole microbial community. The isolation and identification of poplar-associated bacterial strains from the culturable fraction of the microbial community provided the basis for further studies aimed at the combined use of plants and soil microorganisms in the remediation of heavy metal polluted soils
Epigenetic control of heavy metal stress response in mycorrhizal versus non-mycorrhizal poplar plants
It was previously shown that arbuscular mycorrhizal
fungi (AMF) exert a significant improvement of growth in
a tolerant white poplar (Populus alba L.) clone (AL35) grown
on Cu- and Zn-polluted soil via foliar alterations in the levels
of defence/stress-related transcripts and molecules. However,
nothing is known about the epigenetic changes which occur
during tolerance acquisition in response to heavy metals
(HMs) in the same mycorrhizal vs. non-mycorrhizal poplar
plants. In order to analyse the epigenome in leaves of AL35
plants inoculated or not withAMF and grown in a greenhouse
on multimetal polluted or unpolluted soil, the Methylation
Sensitive Amplification Polymorphism (MSAP) approach
was adopted to detect cytosine DNA methylation. Modest
changes in cytosine methylation patterns were detected at first
sampling (4 months from planting), whereas extensive alterations
(hypomethylation) occurred at second sampling (after
6 months) in mycorrhizal plants grown in the presence of
HMs. The sequencing of MSAP fragments led to the
identification of genes belonging to several Gene Ontology
categories. Seven MSAP fragments, selected on the basis of
DNA methylation status in treated vs control AL35 leaves at
the end of the experiment, were analysed for their transcript
levels by means of qRT-PCR. Gene expression varied in
treated samples relative to controls in response to HMs and/
or AMF inoculation; in particular, transcripts of genes involved
in RNA processing, cell wall and amino acid metabolism
were upregulated in the presence ofAMF with or without
HMs
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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